(Use R) Consider the 'squid1.xlsx' dataset. These data were originally collected as part of a study published in Aquatic Living Resources in 2005. The aim of the study was to investigate the seasonal patterns of investment in somatic and reproductive tissues in the long finned squid Loligo forbesi caught in Scottish waters. Squid were caught monthly from December 1989 - July 1991 (month and year variables). After capture, each squid was given a unique specimen code, weighed (weight) and the sex determined (sex - only female squid are included here). The size of individuals was also measured as the dorsal mantle length (DML) and the mantle weight measured without internal organs (eviscerate.weight). The gonads were weighed (ovary.weight) along with the accessory reproductive organ (the nidamental gland, nid weight, nid length). Each individual was also assigned a categorical measure of maturity (maturity stage, ranging from 1 to 5 with 1 = immature, 5 = mature). The digestive gland weight (dig weight) was also recorded to assess nutritional status of the individual. Create dotplots for the following variables; DML, weight, nid length, and ovary weight. Do these variables contain any unusually large or small observations? Create histograms for the variables; DML, weight, eviscerate weight, and ovary weight. Create a single figure with all 4 plots. Export your plot as a pdf file. Plot the relationship between DML on the x-axis and weight on the y-axis. How would you describe this relationship? Is it linear? Save your plots as a png file. Create a boxplot to visualize the differences in DML at each maturity stage. Include x and y axes labels in your plot. Create a violin plot to visualize the differences in DML at each maturity stage. Use the coplot() function to plot the relationship between DML on the x-axis and square root transformed weight on the y-axis for each level of maturity stage. Does the relationship between DML and weight look different for each maturity stage. If you prefer, you can also create a similar plot using the xyplot() function from the lattice package. Create a pairs plot for the variables; DML, weight, eviscerate.weight, ovary.weight, nid length, and nid weight, Modify your pairs plot to include a histogram of the variables on the diagonal panel and include a correlation coefficient for each relationship on the upper triangle panels. Also include a smoother in the lower triangle panels to help visualize these relationships. 2 1002 1989 B 05128901 405128901 5 05128901 1003 1989 12 1005 1989 222 152 2 3 174 1 ample.no specimen year month weight sex maturity.stage DML eviscerate.weight dig.weight nid.length nid.weight ovary.weight 05128901 12 87.5 4.648 39.4 2.46 1.68 105.9 2 1 153 62.6 3.138 24.1 0.319 0.103 12 138.4 2 2 169 79.4 0.307 39 1.169 0.289 1007 1989 12 140.8 2 2 175 83.1 4.123 41.4 1.631 0.252 5 05128901 1008 1989 12 126.2 2 3 169 72.2 3.605 39.8 2.03 0.86 705128901 1009 1989 12 54.3 2 1 116 30.2 1.092 20 0.148 0.016 B 05128901 1011 1989 12 81.2 2 2 135 46.6 2.168 14 0.252 0.043 905128901 1013 1989 12 182.7 2 0 05128901 1014 1989 12 141.6 1 05128901 1017 1989 12 218 222 3 192 107.7 2.026 55 5.614 5.84 3 170 72.3 2.731 44 2.557 1.846 4 205 121.8 4.916 53 6.062 4.097 2 05128901 1020 1989 12 194.2 2 3 190 126.7 2.977 430.2 2.939 1.196 3 05128901 1023 1989 12 182.4 2 4 170 113.2 3.021 51 6.04 4.027 4 16019001 1003 1990 1 401 5 16019001 1005 1990 1 693 2, 4 257 187 16.05 80 18.858 21.072 2 5 323 347 22.241 100 28.727 47.79 6 19019001 1001 1990 1 354.6 7 00039001 1001 1990 3 311 8 00039001 1003 1990 3 297 9 00039001 1004 1990 3 339 0 00039001 1006 1990 3 258 1 00039001 1007 1990 3 397 2 00039001 1010 1990 3 504 3 02039001 1001 1990 3 132 4 02039001 1002 1990 3 224 5 02039001 1003 1990 3 331 6 02039002 1001 1990 3 220 7 02039002 1003 1990 3 301 8 02039002 1005 1990 3 367 9 04039001 1001 1990 3 249 -0 04039001 104039002 2 04039003 1002 1990 3 304 1001 1990 3 400 1002 1990 3 349 3 06039001 1001 1990 3 454 4 06039001 1003 1990 3 244 5 06039001 1004 1990 3 460 6 06039002 1001 1990 3 351 N22222222222222222222 4 246 171.7 12.6 84 18.3 19.4 4 240 169 10.223 70 9.831 12.881 4 225 142 5.931 85 16.298 21.15 5 234 167 7.93 83 17.176 25.55 4 209 126 3.784 80 13.391 12.816 5 250 198 11.075 83 15.044 21.37 4 272 221 13.044 96 35.42 29.39 4 159 60 3.36 53 5.421 7.59 5 205 100 5.93 76 10.073 16.3 5 250 162 9.71 93 15.499 23.52 5 205 99 5.293 74 12.712 14.76 5 223 146 7.674 76 16.046 21.92 5 233 169 9.23 87 23.003 32.77 4 216 114 3.768 70 11.656 21.365 5 223 147 6.871 96 19.79 21.077 4 255 206 9.94 89 20.593 30.042 5 250 163 7.074 90 19.264 27.284 4 264 213 14.547 90 26.35 29.95 5 215 111 5.453 71 13.752 15.3 5 255 220 13.46 102 31.795 36.89 5 244 179 6.776 87 18.604 24.109 -7 06039002 806039003 1002 1990 3 317 2 5 222 145 8.005 76 18.871 18.653 1009 1990 3 392 2 4 266 179 9.703 93 22.848 27.91 1001 1000 3 ค 200 307 105 ОЛ АС 00020001 squid1 +

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
Section: Chapter Questions
Problem 14CR
icon
Related questions
Question
(Use R) Consider the 'squid1.xlsx' dataset. These data were originally collected as part
of a study published in Aquatic Living Resources in 2005. The aim of the study was to
investigate the seasonal patterns of investment in somatic and reproductive tissues in the
long finned squid Loligo forbesi caught in Scottish waters. Squid were caught monthly
from December 1989 - July 1991 (month and year variables). After capture, each squid
was given a unique specimen code, weighed (weight) and the sex determined (sex - only
female squid are included here). The size of individuals was also measured as the dorsal
mantle length (DML) and the mantle weight measured without internal organs
(eviscerate.weight). The gonads were weighed (ovary.weight) along with the accessory
reproductive organ (the nidamental gland, nid weight, nid length). Each individual was
also assigned a categorical measure of maturity (maturity stage, ranging from 1 to 5 with
1 = immature, 5 = mature). The digestive gland weight (dig weight) was also recorded to
assess nutritional status of the individual.
Create dotplots for the following variables; DML, weight, nid length, and ovary weight.
Do these variables contain any unusually large or small observations?
Create histograms for the variables; DML, weight, eviscerate weight, and ovary weight.
Create a single figure with all 4 plots. Export your plot as a pdf file.
Plot the relationship between DML on the x-axis and weight on the y-axis. How would
you describe this relationship? Is it linear? Save your plots as a png file.
Create a boxplot to visualize the differences in DML at each maturity stage. Include x
and y axes labels in your plot.
Create a violin plot to visualize the differences in DML at each maturity stage.
Use the coplot() function to plot the relationship between DML on the x-axis and square
root transformed weight on the y-axis for each level of maturity stage. Does the
relationship between DML and weight look different for each maturity stage. If you
prefer, you can also create a similar plot using the xyplot() function from
the lattice package.
Create a pairs plot for the variables; DML, weight, eviscerate.weight, ovary.weight,
nid length, and nid weight, Modify your pairs plot to include a histogram of the variables
on the diagonal panel and include a correlation coefficient for each relationship on the
upper triangle panels. Also include a smoother in the lower triangle panels to help
visualize these relationships.
Transcribed Image Text:(Use R) Consider the 'squid1.xlsx' dataset. These data were originally collected as part of a study published in Aquatic Living Resources in 2005. The aim of the study was to investigate the seasonal patterns of investment in somatic and reproductive tissues in the long finned squid Loligo forbesi caught in Scottish waters. Squid were caught monthly from December 1989 - July 1991 (month and year variables). After capture, each squid was given a unique specimen code, weighed (weight) and the sex determined (sex - only female squid are included here). The size of individuals was also measured as the dorsal mantle length (DML) and the mantle weight measured without internal organs (eviscerate.weight). The gonads were weighed (ovary.weight) along with the accessory reproductive organ (the nidamental gland, nid weight, nid length). Each individual was also assigned a categorical measure of maturity (maturity stage, ranging from 1 to 5 with 1 = immature, 5 = mature). The digestive gland weight (dig weight) was also recorded to assess nutritional status of the individual. Create dotplots for the following variables; DML, weight, nid length, and ovary weight. Do these variables contain any unusually large or small observations? Create histograms for the variables; DML, weight, eviscerate weight, and ovary weight. Create a single figure with all 4 plots. Export your plot as a pdf file. Plot the relationship between DML on the x-axis and weight on the y-axis. How would you describe this relationship? Is it linear? Save your plots as a png file. Create a boxplot to visualize the differences in DML at each maturity stage. Include x and y axes labels in your plot. Create a violin plot to visualize the differences in DML at each maturity stage. Use the coplot() function to plot the relationship between DML on the x-axis and square root transformed weight on the y-axis for each level of maturity stage. Does the relationship between DML and weight look different for each maturity stage. If you prefer, you can also create a similar plot using the xyplot() function from the lattice package. Create a pairs plot for the variables; DML, weight, eviscerate.weight, ovary.weight, nid length, and nid weight, Modify your pairs plot to include a histogram of the variables on the diagonal panel and include a correlation coefficient for each relationship on the upper triangle panels. Also include a smoother in the lower triangle panels to help visualize these relationships.
2
1002 1989
B 05128901
405128901
5 05128901
1003 1989
12
1005 1989
222
152 2
3 174
1 ample.no specimen year month weight sex maturity.stage DML eviscerate.weight dig.weight nid.length nid.weight ovary.weight
05128901
12
87.5
4.648
39.4
2.46
1.68
105.9
2
1 153
62.6
3.138
24.1
0.319
0.103
12
138.4 2
2 169
79.4
0.307
39
1.169
0.289
1007 1989
12
140.8 2
2 175
83.1
4.123
41.4
1.631
0.252
5 05128901
1008 1989
12
126.2 2
3 169
72.2
3.605
39.8
2.03
0.86
705128901
1009 1989
12
54.3 2
1 116
30.2
1.092
20
0.148
0.016
B 05128901
1011 1989
12
81.2
2
2 135
46.6
2.168
14
0.252
0.043
905128901
1013 1989
12
182.7 2
0 05128901
1014 1989
12
141.6
1 05128901
1017 1989
12
218
222
3 192
107.7
2.026
55
5.614
5.84
3 170
72.3
2.731
44
2.557
1.846
4
205
121.8
4.916
53
6.062
4.097
2 05128901
1020 1989
12
194.2 2
3 190
126.7
2.977
430.2
2.939
1.196
3 05128901
1023 1989
12
182.4 2
4 170
113.2
3.021
51
6.04
4.027
4 16019001
1003 1990
1
401
5 16019001
1005 1990
1
693
2,
4 257
187
16.05
80
18.858
21.072
2
5 323
347
22.241
100
28.727
47.79
6 19019001
1001 1990
1
354.6
7 00039001
1001 1990
3
311
8 00039001
1003 1990
3
297
9 00039001
1004 1990
3
339
0 00039001
1006 1990
3
258
1 00039001
1007 1990
3
397
2 00039001
1010 1990
3
504
3 02039001
1001 1990
3
132
4 02039001
1002 1990
3
224
5 02039001
1003 1990
3
331
6 02039002
1001 1990
3
220
7 02039002
1003 1990
3
301
8 02039002
1005 1990
3
367
9 04039001
1001 1990
3
249
-0 04039001
104039002
2 04039003
1002 1990
3
304
1001 1990
3
400
1002 1990
3
349
3 06039001
1001 1990
3
454
4 06039001
1003 1990
3
244
5 06039001
1004 1990
3
460
6 06039002
1001 1990
3
351
N22222222222222222222
4 246
171.7
12.6
84
18.3
19.4
4 240
169
10.223
70
9.831
12.881
4 225
142
5.931
85
16.298
21.15
5 234
167
7.93
83
17.176
25.55
4 209
126
3.784
80
13.391
12.816
5 250
198
11.075
83
15.044
21.37
4 272
221
13.044
96
35.42
29.39
4 159
60
3.36
53
5.421
7.59
5 205
100
5.93
76
10.073
16.3
5 250
162
9.71
93
15.499
23.52
5 205
99
5.293
74
12.712
14.76
5 223
146
7.674
76
16.046
21.92
5 233
169
9.23
87
23.003
32.77
4 216
114
3.768
70
11.656
21.365
5 223
147
6.871
96
19.79
21.077
4 255
206
9.94
89
20.593
30.042
5 250
163
7.074
90
19.264
27.284
4 264
213
14.547
90
26.35
29.95
5 215
111
5.453
71
13.752
15.3
5 255
220
13.46
102
31.795
36.89
5 244
179
6.776
87
18.604
24.109
-7 06039002
806039003
1002 1990
3
317
2
5
222
145
8.005
76
18.871
18.653
1009 1990
3
392
2
4
266
179
9.703
93
22.848
27.91
1001 1000
3
ค
200
307
105
ОЛ АС
00020001
squid1
+
Transcribed Image Text:2 1002 1989 B 05128901 405128901 5 05128901 1003 1989 12 1005 1989 222 152 2 3 174 1 ample.no specimen year month weight sex maturity.stage DML eviscerate.weight dig.weight nid.length nid.weight ovary.weight 05128901 12 87.5 4.648 39.4 2.46 1.68 105.9 2 1 153 62.6 3.138 24.1 0.319 0.103 12 138.4 2 2 169 79.4 0.307 39 1.169 0.289 1007 1989 12 140.8 2 2 175 83.1 4.123 41.4 1.631 0.252 5 05128901 1008 1989 12 126.2 2 3 169 72.2 3.605 39.8 2.03 0.86 705128901 1009 1989 12 54.3 2 1 116 30.2 1.092 20 0.148 0.016 B 05128901 1011 1989 12 81.2 2 2 135 46.6 2.168 14 0.252 0.043 905128901 1013 1989 12 182.7 2 0 05128901 1014 1989 12 141.6 1 05128901 1017 1989 12 218 222 3 192 107.7 2.026 55 5.614 5.84 3 170 72.3 2.731 44 2.557 1.846 4 205 121.8 4.916 53 6.062 4.097 2 05128901 1020 1989 12 194.2 2 3 190 126.7 2.977 430.2 2.939 1.196 3 05128901 1023 1989 12 182.4 2 4 170 113.2 3.021 51 6.04 4.027 4 16019001 1003 1990 1 401 5 16019001 1005 1990 1 693 2, 4 257 187 16.05 80 18.858 21.072 2 5 323 347 22.241 100 28.727 47.79 6 19019001 1001 1990 1 354.6 7 00039001 1001 1990 3 311 8 00039001 1003 1990 3 297 9 00039001 1004 1990 3 339 0 00039001 1006 1990 3 258 1 00039001 1007 1990 3 397 2 00039001 1010 1990 3 504 3 02039001 1001 1990 3 132 4 02039001 1002 1990 3 224 5 02039001 1003 1990 3 331 6 02039002 1001 1990 3 220 7 02039002 1003 1990 3 301 8 02039002 1005 1990 3 367 9 04039001 1001 1990 3 249 -0 04039001 104039002 2 04039003 1002 1990 3 304 1001 1990 3 400 1002 1990 3 349 3 06039001 1001 1990 3 454 4 06039001 1003 1990 3 244 5 06039001 1004 1990 3 460 6 06039002 1001 1990 3 351 N22222222222222222222 4 246 171.7 12.6 84 18.3 19.4 4 240 169 10.223 70 9.831 12.881 4 225 142 5.931 85 16.298 21.15 5 234 167 7.93 83 17.176 25.55 4 209 126 3.784 80 13.391 12.816 5 250 198 11.075 83 15.044 21.37 4 272 221 13.044 96 35.42 29.39 4 159 60 3.36 53 5.421 7.59 5 205 100 5.93 76 10.073 16.3 5 250 162 9.71 93 15.499 23.52 5 205 99 5.293 74 12.712 14.76 5 223 146 7.674 76 16.046 21.92 5 233 169 9.23 87 23.003 32.77 4 216 114 3.768 70 11.656 21.365 5 223 147 6.871 96 19.79 21.077 4 255 206 9.94 89 20.593 30.042 5 250 163 7.074 90 19.264 27.284 4 264 213 14.547 90 26.35 29.95 5 215 111 5.453 71 13.752 15.3 5 255 220 13.46 102 31.795 36.89 5 244 179 6.776 87 18.604 24.109 -7 06039002 806039003 1002 1990 3 317 2 5 222 145 8.005 76 18.871 18.653 1009 1990 3 392 2 4 266 179 9.703 93 22.848 27.91 1001 1000 3 ค 200 307 105 ОЛ АС 00020001 squid1 +
Expert Solution
steps

Step by step

Solved in 2 steps with 7 images

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Functions and Change: A Modeling Approach to Coll…
Functions and Change: A Modeling Approach to Coll…
Algebra
ISBN:
9781337111348
Author:
Bruce Crauder, Benny Evans, Alan Noell
Publisher:
Cengage Learning
Holt Mcdougal Larson Pre-algebra: Student Edition…
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL